Performant Deep Learning at Scale with Apache Spark & Apache SystemML

Speaker: Mike Dusenberry Webinar Tuesday, August 23, 2016, 12:00 pm – 1:00 pm PDT (-0700) In this talk, we will present our work on creating a deep learning library for Apache SystemML, allowing for large-scale learning on the underlying Apache Spark platform, while maintaining the simple, modular, high-level mathematics at the core of the field. Deep learning is an exciting area of machine learning that has allowed for state of the art performance in areas including, but not limited to, computer vision, speech recognition, and natural language processing. It is essentially focused on creating large, complex, nonlinear functions mapping from raw inputs to predictions, deep learning aims to automatically learn complex representations of data with minimal human-driven feature engineering. A key feature is that these complex functions are built via…